Data Sheet 1: Clinical and Imaging Data for CAD Risk Assessment in MAFLD Patients

A dataset of 435 patients (174 with MAFLD, 261 with MAFLD and CHD) was used to evaluate coronary inflammation and insulin resistance. The data includes AI-calculated pericoronary fat attenuation index (FAI) and triglyceride-glucose (TyG) index, CT-derived fractional flow reserve (CT-FFR), and other clinical variables. The study, authored by Xiaolong Bai and last updated in May 2026, constructed a predictive nomogram for coronary heart disease and functional ischemia.

Use Cases

• Training predictive models for coronary heart disease based on the TyG index and FAI.
• Analyzing the dose-response relationship between metabolic-inflammatory indices and coronary functional ischemia risk.
• Benchmarking the performance of a clinical nomogram against single biomarkers like FAI and TyG index.
• Investigating the linear correlation between systemic insulin resistance (TyG index) and local coronary inflammation (FAI).

Strengths

• Includes data from 435 patients, providing a substantial clinical cohort.
• Features AI-calculated metrics (FAI, CT-FFR) and validated biomarkers (TyG index).
• The derived nomogram demonstrated high predictive performance with an AUC of 0.952 for CHD.
• Data is shared under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small at 1.0 MB, suggesting it contains summary or processed data rather than raw patient records.

Provenance

Source

figshare

Collection Method

Clinical study data from patients with metabolic dysfunction-associated fatty liver disease (MAFLD).

Freshness

Last updated 2026-05-28 04:43:21; freshness should be verified.